We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all ... 3D domain) * Physics-informed neural networks (ML for computational fluid dynamics or finite ...
We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all ... 3D domain) * Physics-informed neural networks (ML for computational fluid dynamics or finite ...
3D Machine Learning information
See Spokane, WA salary details
$25.8K - $31.5K
5% of jobs
$33.5K is the 25th percentile. Wages below this are outliers.
$31.5K - $37.3K
59% of jobs
$37.3K - $43K
9% of jobs
$43.5K is the 75th percentile. Wages above this are outliers.
$43K - $48.8K
17% of jobs
$48.8K - $54.5K
4% of jobs
$54.5K - $60.3K
2% of jobs
$60.3K - $66K
3% of jobs
$66K - $71.7K
0% of jobs
$71.7K - $77.5K
0% of jobs
$77.5K - $83.2K
0% of jobs
$83.2K - $89K
0% of jobs
$25.8K
$43.1K
$89K
How much do 3d machine learning jobs pay per year?
As of Jul 15, 2026, the average yearly pay for 3d machine learning in Spokane, WA is $43,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 per year, depending on experience, location, and employer.
What are some common challenges faced by professionals working in 3D machine learning, and how can they be addressed?
Professionals in 3D machine learning often encounter challenges such as handling large and complex datasets, managing high computational requirements, and ensuring model robustness across diverse 3D data types (e.g., point clouds, meshes, voxel grids). Addressing these challenges typically involves using efficient data preprocessing pipelines, leveraging cloud computing or advanced GPU resources, and staying updated with the latest research on 3D data augmentation and model architectures. Collaboration with multidisciplinary teams—including data engineers, computer vision experts, and domain specialists—is also crucial for overcoming technical obstacles and producing practical, scalable solutions.
What is 3D machine learning?
3D machine learning is a field of artificial intelligence focused on developing algorithms and models that can process and understand three-dimensional data. This includes tasks such as object recognition, scene reconstruction, segmentation, and analysis using 3D data formats like point clouds, meshes, or volumetric grids. Applications of 3D machine learning are found in areas like autonomous driving, robotics, medical imaging, and augmented reality. The field combines techniques from computer vision, deep learning, and geometry processing to interpret complex spatial information.
What are the key skills and qualifications needed to thrive as a 3D Machine Learning Engineer, and why are they important?
To thrive as a 3D Machine Learning Engineer, you need a solid background in computer science, mathematics, and experience with 3D data processing and machine learning algorithms, typically supported by a relevant degree. Expertise in tools and frameworks like Python, PyTorch or TensorFlow, and libraries such as Open3D or PCL is commonly required, along with familiarity with 3D data formats. Strong problem-solving skills, creativity, and effective communication set top performers apart in this role. These skills enable the development of innovative solutions for complex 3D data challenges, which are crucial for advancements in fields like robotics, computer vision, and AR/VR.
What is the difference between 3D Machine Learning vs 3D Computer Vision?
| Aspect | 3D Machine Learning | 3D Computer Vision |
|---|---|---|
| Required Credentials | Degree in Computer Science, Data Science, or related fields; knowledge of ML frameworks | Degree in Computer Vision, Computer Science, or related fields; experience with image processing |
| Work Environment | Research labs, AI development teams, tech companies | Imaging labs, robotics, autonomous vehicles, tech firms |
| Industry Usage | Developing models for 3D data analysis, sensor data integration | Processing 3D images, object detection, scene reconstruction |
While 3D Machine Learning focuses on creating algorithms that learn from 3D data, 3D Computer Vision emphasizes interpreting and analyzing 3D visual information. Both fields often overlap but serve different primary objectives within AI and imaging applications.
What are popular job titles related to 3D Machine Learning jobs in Spokane, WA? For 3D Machine Learning jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching 3D Machine Learning jobs in Spokane, WA look for? The top searched job categories for 3D Machine Learning jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for 3D Machine Learning jobs? Cities near Spokane, WA with the most 3D Machine Learning job openings:
Full-time
Medical, Dental, Life, PTO
Re-posted 11 days ago
Job description
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.
The future of smart mobility hinges on the intelligent application of data, metrics, and analytics. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a pivotal role. We serve as Ford's trusted advisers, providing clear insights into business conditions, customer needs, and the competitive environment. Our work empowers key decision-makers to act decisively and positively. By leveraging your expertise in data and analytics, you can contribute to timely, evidence-based decision-making.
Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. Our mission is to foster evidence-based decisions by unlocking insights from data. Our projects span various domains, including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics.
We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment. Ideal candidates are self-motivated, have a strong sense of initiative, and a lifelong passion for learning to navigate the rapidly evolving field of mobility technology. We offer the freedom to conduct original research, select the most suitable methodologies, and tackle world-class machine learning challenges.
This role involves applying AI and ML to innovate in areas such as autonomous vehicles, cybersecurity, customer interaction, and product design. You'll be part of a forward-thinking team dedicated to using AI and ML to create groundbreaking solutions and shape our strategic direction in these fields and beyond.
Bachelor's degree in computer science, mathematics, statistics, operations research, or related field
Experience with the complete software lifecycle
1+ years of experience with delivering and maintaining production software products
Strong technical writing and oral communication skills
Expertise in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOps
Experience in productionizing generative AI to solve critical business problems
Preferred Qualifications
Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience (e.g. managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data-science
OR bachelor's degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data-science experience
Experience with cloud-based deployments and best practices
Demonstrated contributions and expertise in one or more of the following AI domains:
Natural Language Processing (finetuning and distillation of LLMs, evaluation of LLM-powered applications, deploying models at scale, including development and deployment of LLM-driven AI agents capable of autonomous task execution and tool integration)
Computer Vision (anomaly detection / few-shot learning, multi-sensor fusion, object detection and tracking, scene segmentation, motion planning and prediction)
Generative AI (fine tuning stable diffusion models, multi-modal large language models, generation in the 3D domain)
Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling)
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary
This role is remote unless you are within 50 miles of Dearborn, MI, then you will be required on-site 4x a week.
*Visa Sponsorship IS provided for this specific role*
*Relocation assistance is NOT provided for this specific role*
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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SG7-SG8
Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)
Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends
Apply AI and Machine Learning technology to solve complex, real-world problems
Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely
Fulfill problem formulation and ML technique consulting requests in a timely manner
Communicate and present analytical models to business customers and executive management
Work collaboratively with different business partners and be able to present results in a clear and concise manner
About Ford
Sourced by ZipRecruiter
At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.
Industry
Civil engineering construction
Company size
51 - 200 Employees
Headquarters location
Doral, FL, US
Year founded
1982